1. A molecular-based identification resource for the arthropods of Finland
- Author
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Aino Juslén, Petri Metsälä, Dina Soliman, Susana Miranda Romo, Ika Österblad, Petri Lampila, Timo Pajunen, Janne Koskinen, Erkki M. Laasonen, Kate Perez, Santiago Blanco, Vladislav Ivanov, Leif Schulman, Sami Haapala, Aki Rinne, Ritva Penttinen, Jari-Pekka Kaitila, Jukka Salmela, Jostein Kjærandsen, Nadia Nikolova, Petri Parkko, Catherine Wei, Martti Raekunnas, Petri Ahlroth, Pekka Raukko, Juho Paukkunen, Mikko Pentinsaari, Ari Kakko, Claudia Steinke, Valerie Levesque-Beaudin, Arto Muinonen, Teemu Rintala, Petri Martikainen, Jussi Vilen, Eero J. Vesterinen, Renee Miskie, Tomas Roslin, Lauri Kaila, Jouni Aspi, Pasi Sihvonen, Riikka Elo, Esko Viitanen, Veli Vikberg, Gergely Várkonyi, Chris Ho, Margarita Miklasevskaja, Leena Laasonen, Riitta Savolainen, Jevgeni Jakovlev, Suresh Naik, Sampsa Malmberg, Kari Nupponen, Gunilla Ståhls, Liuqiong Lu, Eero Helve, Meeri Rannisto, Reijo Jussila, Dean Chan, Jari Ilmonen, Sean Prosser, Jeremy R deWaard, Meredith Miller, Meri Lähteenaro, Jayme E Sones, Jaakko Pohjoismäki, Pekka Majuri, Tom Clayhills, Lauri Paasivirta, Sujeevan Ratnasingham, Perttu Anttonen, Connor P Warne, Juha Salokannel, Jaclyn McKeown, Veli-Matti Mukkala, Erkka Laine, Juhani Itämies, Sami Karjalainen, Otso Ovaskainen, Kaj Winqvist, Paul D. N. Hebert, Miduna Rahulan, Tyler Elliot, Jere Kahanpää, Ali Karhu, Panu Somervuo, Matti Viitasaari, Marko Mutanen, Petri Hirvonen, Jukka Tabell, Stephanie L. deWaard, Evgeny Zakharov, Mikko Tiusanen, Iiro Kakko, Gergin Blagoev, Ramya Manjunath, Jireh Agda, Jaakko Mattila, Department of Agricultural Sciences, Spatial Foodweb Ecology Group, Organismal and Evolutionary Biology Research Programme, Zoology, Finnish Museum of Natural History, Unit of Biodiversity Informatics, Lauri Kaila / Principal Investigator, and Otso Ovaskainen / Principal Investigator
- Subjects
0106 biological sciences ,Resource (biology) ,DNA barcodes ,species identification ,Biodiversity ,reference library ,arthropods ,Biology ,Barcode ,Probabilistic taxonomic assignment ,010603 evolutionary biology ,01 natural sciences ,law.invention ,Coi ,COI ,03 medical and health sciences ,symbols.namesake ,Protax ,law ,probabilistic taxonomic assignment ,niveljalkaiset ,Genetics ,Animals ,DNA Barcoding, Taxonomic ,Species identification ,Arthropods ,Finland ,Ecology, Evolution, Behavior and Systematics ,Gene Library ,030304 developmental biology ,0303 health sciences ,DNA-analyysi ,PROTAX ,systematiikka (biologia) ,Linnaean taxonomy ,Reference library ,Geography ,Evolutionary biology ,Dna barcodes ,1181 Ecology, evolutionary biology ,symbols ,identification ,lajinmääritys ,Identification (biology) ,Biotechnology - Abstract
Publisher Copyright: © 2021 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd. To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the improvement in identification accuracy enabled by the current reference library, we ran 1000 Finnish insect and spider species through the Barcode of Life Data system (BOLD) identification engine. Of these, 91% were correctly assigned to a unique species when compared to the new reference library alone, 85% were correctly identified when compared to BOLD with the new material included, and 75% with the new material excluded. To capitalize on this resource, we used the new reference material to train a probabilistic taxonomic assignment tool, FinPROTAX, scoring high success. For the full-length barcode region, the accuracy of taxonomic assignments at the level of classes, orders, families, subfamilies, tribes, genera, and species reached 99.9%, 99.9%, 99.8%, 99.7%, 99.4%, 96.8%, and 88.5%, respectively. The FinBOL arthropod reference library and FinPROTAX are available through the Finnish Biodiversity Information Facility (www.laji.fi) at https://laji.fi/en/theme/protax. Overall, the FinBOL investment represents a massive capacity-transfer from the taxonomic community of Finland to all sectors of society.
- Published
- 2022